Affine Invariant Feature Extraction Based on Multi-scale Auto-convolution Entropy

A novel distinctive feature,called multi-scale auto-convolution entropy (MSAE),is derived based on multi-scale auto-convolution,and it is proved to be affine invariant. The MSAE is used for classification using the minimum distance classifier. The images with changing viewpoint corrupted with Gaussian noise,and with occlusion were tested,and a higher recognition accuracy is achieved.